Alternatives to NVIDIA DRIVE Map

We provide licensing for AI software that spans the entire L2-L4 autonomous driving framework, which includes components like perception, intent modeling, path planning, and vehicle control. Our solutions achieve exceptional accuracy in perception and intent prediction, significantly enhancing the safety of autonomous driving systems. By leveraging unsupervised learning alongside mathematical modeling, we can harness vast datasets for improved performance, bypassing the limitations of supervised learning. These advancements lead to technologies that are remarkably more capital-efficient, resulting in a reduced development cost for our clients. Our offerings include Helm.ai's comprehensive scene vision-based semantic segmentation, integrated with Lidar SLAM outputs from Ouster. We facilitate L2+ autonomous driving capabilities with Helm.ai on highways 280, 92, and 101, which encompasses features such as lane-keeping and adaptive cruise control (ACC) lane changes. Additionally, Helm.ai excels in pedestrian segmentation, utilizing key-point prediction to enhance safety. This includes sophisticated pedestrian segmentation and accurate keypoint detection, even in challenging conditions like rain, where we address corner cases and integrate Lidar-vision fusion for optimal performance. Our full scene semantic segmentation also accounts for various road features, including botts dots and faded lane markings, ensuring reliability across diverse driving environments. Through continuous innovation, we aim to redefine the boundaries of what autonomous driving technology can achieve.

Engineered using top-tier hardware and innovative software, the Aurora Driver is crafted to be versatile across different vehicle categories and applications, thereby enabling the advantages of autonomous driving in various sectors, such as freight transportation, local delivery services, and passenger transport. This advanced system incorporates sensors that gather environmental data, software that devises a secure route, and a computer that integrates these components with the vehicle itself. Capable of handling any vehicle, from compact cars to heavy-duty trucks, the Aurora Driver is equipped with the Aurora Computer, which acts as the core interface connecting our hardware with the autonomy software, facilitating smooth integration with diverse vehicle types. Our tailor-made sensor suite, which includes FirstLight Lidar, advanced long-range radars, and high-definition cameras, collaborates effectively to create a three-dimensional view of the surroundings, providing the Aurora Driver with a comprehensive 360˚ awareness of its environment in real time. This sophisticated technology ensures that the Aurora Driver can adapt to varying driving conditions, enhancing safety and efficiency across all its applications.

MORAI presents an innovative digital twin simulation platform designed to expedite the development and evaluation of autonomous vehicles, urban air mobility solutions, and maritime autonomous surface vessels. This platform utilizes high-definition mapping and an advanced physics engine to seamlessly connect real-world applications with simulated testing environments, ensuring all critical components for validating autonomous systems are included, such as those for self-driving cars, drones, and unmanned marine vehicles. It features a comprehensive array of sensor models, which encompass cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users have the capability to create intricate and varied testing scenarios derived from actual data, including those based on logs and edge cases. Furthermore, MORAI's cloud-based simulation framework enables safe, efficient, and scalable testing processes, allowing multiple simulations to operate simultaneously while assessing various scenarios in parallel. This robust infrastructure not only enhances the reliability of testing but also significantly reduces the time and costs associated with the development of autonomous technologies.

A combination of sensors, including LiDAR, cameras, and radar, gather data from the vehicle's surroundings. By employing sensor fusion technology, perception algorithms are capable of identifying, locating, measuring the speed, and determining the orientation of various objects on the road in real time. This advanced autonomous perception system is supported by Baidu's extensive big data infrastructure and deep learning capabilities, along with a rich repository of labeled real-world driving data. The robust deep-learning platform, complemented by GPU clusters, enhances processing power. Additionally, the simulation environment enables virtual driving across millions of kilometers each day, leveraging diverse real-world traffic and autonomous driving data. Through this simulation service, partners can access an extensive array of autonomous driving scenarios, allowing for rapid testing, validation, and optimization of models in a manner that prioritizes both safety and efficiency, ultimately fostering advancements in autonomous vehicle technology.

Selenium stands as our premier product, representing an extensive full-stack autonomy system developed through over 500 person-years of dedicated work. This comprehensive suite of software for vehicles, designed to operate with a drive-by-wire interface and minimal computing resources, enables complete autonomy for land-based vehicles. Selenium is capable of converting any compatible vehicle platform into an autonomous unit, whether for prototype development or mass production. Comprised of a series of interoperable software components, it equips the vehicle to effectively address three fundamental inquiries: Where am I? What surrounds me? What actions should I take next? Encompassing a wide range of technologies, Selenium includes everything from low-level device drivers to calibration, four-modal localization, mapping, perception, machine learning, and planning, with its impressive vertical integration extending to user interfaces and data export systems. Notably, it operates independently of GPS or HD-Maps, although these can still be integrated when available, thus enhancing its versatility and application in diverse environments. With this innovative technology, we are redefining the future of autonomous vehicles.

Momenta stands out as a premier company in the field of autonomous driving technology. Committed to transforming the landscape of mobility, Momenta delivers innovative solutions that facilitate various levels of driving autonomy. The company has established a distinctive and scalable roadmap towards achieving complete autonomous driving by integrating a data-centric methodology with the continuous refinement of algorithms, a strategy known as the “flywheel approach.” Additionally, Momenta employs a “two-leg” product strategy, which encompasses Mpilot, its highly autonomous driving solution ready for mass production, and MSD (Momenta Self-Driving), aimed at reaching full autonomy. Mpilot is specifically designed as a mass-production-ready software solution for automated driving in private vehicles. A key component of this offering is Mpilot X, which delivers a comprehensive and highly autonomous driving experience across all driving scenarios, featuring essential functionalities such as Mpilot Highway, Mpilot Urban, and Mpilot Parking. With a focus on innovation and user experience, Momenta is poised to lead the way in the future of transportation.

Aptiv is an international technology firm dedicated to creating safer, more sustainable, and interconnected solutions that pave the way for the future of transportation. The company concentrates on innovating and commercializing autonomous vehicles and systems that facilitate efficient point-to-point transportation through extensive fleets of self-driving cars, particularly in complex urban settings. With skilled teams located worldwide, from Boston to Singapore, Aptiv has emerged as the first organization to launch a commercial autonomous ride-hailing service in Las Vegas. They have successfully completed over 100,000 rides for the public, with an impressive 98% of passengers giving their self-driving experience a perfect 5-out-of-5 star rating. Aptiv is committed to the belief that their mobility innovations can significantly impact the world, and they continue to strive for advancements that enhance the quality of urban transport. By focusing on safety and efficiency, Aptiv aims to redefine how people navigate through cities in the future.

Explore a versatile, scalable, and modular virtual driving simulator that facilitates testing across diverse objectives and performance metrics. The Ansys VRXPERIENCE Driving Simulator, powered by SCANeR™, allows users to create scenarios, evaluate software, analyze vehicle dynamics, and engage with sensors all within a virtual driving framework. This simulator provides a complete virtual driving laboratory for scrutinizing performance outcomes. The VRXPERIENCE Driving Simulator delivers an engaging simulated driving experience situated in a realistic environment. Conduct thorough safety evaluations that enable the simulation of millions of virtual miles in just a few days, significantly accelerating development by a factor of 1,000 when compared to traditional road testing methods. As the landscape of passenger vehicles evolves to become increasingly digital and autonomous, the demand for an array of advanced technologies, including various sensors like cameras, radar, and lidar, as well as sophisticated embedded software for automated control systems, continues to grow. This advancement underscores the necessity for innovative tools in vehicle development and testing.

Whitebox Geospatial Inc. specializes in cutting-edge geospatial software that leverages open-source technology, offering a comprehensive array of tools aimed at enhancing geospatial data analysis. Their primary product, WhiteboxTools Open Core (WbT), boasts an impressive collection of over 475 tools designed to handle various forms of geospatial data, including raster, vector, and LiDAR formats. WbT is crafted for easy integration with other GIS platforms, such as QGIS and ArcGIS, which enhances their analytical functions significantly. Featuring robust parallel computing capabilities, it operates independently of additional libraries like GDAL and can be accessed through scripting environments, making it an adaptable option for geospatial experts. For those in need of more advanced features, Whitebox provides the Whitebox Toolset Extension (WTE), a premium add-on that contributes over 75 additional tools specifically for intricate geospatial data processing. Furthermore, Whitebox Workflows for Python (WbW) empowers geospatial professionals by offering advanced geoprocessing options that elevate their analytical workflows to new heights. This extensive suite of tools is designed to meet the diverse needs of users in the geospatial field, ensuring that they have the resources necessary for comprehensive data analysis.

eCognition Developer serves as a robust platform for conducting object-based image analysis, particularly in the field of earth sciences. This software enables users to create rule sets or applications for eCognition Architect, facilitating the automatic interpretation of remote sensing data. It is versatile enough to handle a range of remote sensing applications, including vegetation mapping, feature extraction, change detection, and object recognition. By adopting an object-based methodology, it supports the analysis of various data types, encompassing medium to high-resolution satellite imagery, high to very high-resolution aerial photographs, lidar, radar, and even hyperspectral data. With a rich suite of algorithms specifically designed for diverse image analysis challenges, eCognition Developer allows users to select from a broad array of segmentation techniques, including multiresolution segmentation, quadtree, or chessboard methods. This flexibility empowers researchers and analysts to tailor their approach to meet specific project needs effectively.

Embotech has developed PRODRIVER to address the challenges of motion planning in autonomous or highly automated vehicles. This crucial element resides within the 'decision making' layer of the software architecture for autonomous driving. As a motion planner, PRODRIVER generates either drivable trajectories or direct actuator commands, such as steering, acceleration, and braking, based on the information it gathers from the surrounding environment. It achieves this by continuously predicting scenarios and solving optimization problems in real time. Key inputs for PRODRIVER include data regarding the navigable area, obstacles present, and a defined goal, which might be a specific location or an overarching objective like advancing along a path. The outputs produced can either be directly utilized to steer the vehicle or serve as set-points for the low-level controllers to maintain control. Additionally, the schematic diagram below illustrates how PRODRIVER fits into a typical software stack for autonomous vehicles, showcasing its integral role in ensuring safe and efficient navigation.

Tronis serves as a platform for virtual prototyping and for ensuring the safety of driver assistance technologies, particularly in the realm of highly automated or fully autonomous vehicles. Utilizing an advanced 3D game engine, it allows for the effective simulation of real-world driving conditions and traffic situations, which can be utilized for testing purposes, such as assessing camera and radar-based environmental perception. This innovative approach can greatly expedite the development process of these systems while minimizing the reliance on physical prototypes. Consequently, it offers a cost-effective solution that enhances the efficiency of creating safer autonomous driving technologies.

Architects, designers, and urban planners have the convenience of accessing high-resolution materials instantly. Professionals in construction, development, and engineering benefit from comprehensive visibility of their project sites, presented in various detailed formats. Property owners and managers can examine their assets closely and understand how environmental alterations may affect them. The diversity and geographic reach of Geocirrus content is vast and continually expanding. Our commitment includes regularly capturing and processing survey data to ensure that our aerial imagery, LiDAR information, 3D Photomesh, and building models accurately represent shifts in real-world settings. We strive to ensure that our Geocirrus content aligns perfectly with your requirements. Should you find that specific content for a location or type is not currently available, please feel free to reach out to us so we can assist you. We value your input and are eager to enhance our offerings based on your needs.

Quick Terrain Modeler, created by Applied Imagery, stands out as a leading software for 3D visualization and point cloud analysis, specifically tailored for effective LiDAR data utilization. Its intuitive interface simplifies the process for users dealing with large 3D datasets, enabling quick analyses and the easy export of diverse outputs with little prerequisite knowledge. The software is versatile, accommodating data from various origins such as LiDAR, photogrammetry, radar, and sonar, while also facilitating smooth transformations between different coordinate systems all within a unified environment. Among its notable features are the ability to visualize extensive 3D datasets in both point cloud and surface model styles, interactive inspection functionalities, 3D editing tools, automatic classification of point clouds, and building extraction capabilities, along with a comprehensive array of geospatial analysis tools. Compatible with Windows operating systems, Quick Terrain Modeler also provides a free trial version, allowing potential users to experience its functionality firsthand before committing to a purchase. With its robust features and user-oriented design, it caters to professionals seeking to enhance their data analysis and visualization tasks.

UrsaLeo provides a cutting-edge 3D platform that merges digital twin technology with both real-time and historical data sourced from IoT streams, document management systems, maintenance logs, and various enterprise applications. This innovative solution enables the integration of industrial metaverse capabilities into any software platform seamlessly. The process begins with creating a digital twin based on CAD designs or LIDAR/photogrammetry scans, accompanied by data accessed through an API. UrsaLeo's Gemini product can be incorporated into any SaaS platform that utilizes a React framework, offering flexibility and adaptability. Powered by a robust backend, Gemini’s data translation service aggregates data from multiple sources and issues alerts whenever set thresholds are reached. Upon alert activation, Gemini has the capability to either zoom in or employ a virtual camera to highlight the origin of any incident or issue. Additionally, its visual reporting feature vividly illustrates these failures, allowing users to analyze past events effectively and implement necessary changes for improvement. With such an advanced approach, UrsaLeo is redefining how organizations interact with their operational data in an immersive environment.

nFrames SURE software offers an effective solution for dense image surface reconstruction tailored for organizations involved in mapping, surveying, geo-information, and research. This software excels at generating accurate point clouds, Digital Surface Models (DSMs), True Orthophotos, and textured meshes from images of varying sizes, whether small, medium, or large frame. It is particularly suited for a range of applications, such as nationwide mapping initiatives, monitoring projects utilizing both manned aircraft and UAVs, as well as cadaster, infrastructure planning, and 3D modeling tasks. SURE Aerial is crafted specifically for aerial image datasets obtained from large frame nadir cameras, oblique cameras, and hybrid systems equipped with additional LiDAR sensors. It efficiently handles images of any resolution, facilitating the creation of 3D meshes, True Orthophotos, point clouds, and DSMs on standard workstation hardware or within cluster environments. The software is user-friendly, easy to set up, and operates in compliance with industry standards for mapping, making it accessible for technologies that support web streaming. Its versatility ensures that it meets the diverse needs of various projects while providing reliable outputs.

AR Spaces transform your physical surroundings by introducing engaging and interactive elements. By utilizing LiDAR technology for depth perception, these augmented reality features allow you to craft a virtual dance floor right in your living room, trigger celebratory bursts of confetti, and leave a sparkling trail of stars as you move about. You can capture a lively message, a thrilling announcement, or simply a spontaneous video, ready to share in either vertical or horizontal formats, bringing your augmented experiences to others. Explore the unique camera effects available exclusively in Clips, which include your favorite Memoji, dynamic stickers that follow your movements, or stunning artistic filters for extra flair. Elevate your video creations with the TrueDepth camera, enabling you to shoot immersive 360º Selfie Scenes enhanced with filters and audio effects. Energize your content further with dynamic pop-up features such as animated stickers, text labels, and playful emojis. Set the ambiance of your videos with a wide array of music tracks that adapt seamlessly to the duration of your clips, ensuring a perfectly synchronized audiovisual experience. With these features, your creativity knows no bounds, making every video a unique masterpiece.

DotProduct delivers high-quality mobile 3D scanning solutions via its Dot3D software, which is compatible with iOS, Windows, and Android platforms. This innovative solution allows for the immediate, precise, and dependable digitization of intricate environments, thereby enhancing workflows in multiple sectors. The Dot3D Pro version is compatible with Windows and Android devices that utilize Intel RealSense cameras or DotProduct's DPI kits, providing comprehensive scanning functionalities. iOS users can also benefit from Dot3D, which offers extensive professional-grade 3D laser scanning capabilities for iPads and iPhones that are equipped with built-in LiDAR technology. The software features real-time 3D reconstruction along with live quality assessments, optimizes local data for enhanced accuracy, and includes advanced targeting features to achieve superior outcomes. Users can obtain ultra-accurate measurements, make annotations in a 3D space, and export colored point cloud data in a variety of formats, such as DP, E57, LAS, LAZ, PTS, PTX, PLY, and RCS. Furthermore, the versatility of Dot3D empowers professionals to adapt the scanning process to fit their specific project needs, making it an invaluable tool across diverse applications.

DriveMod represents Cyngn's comprehensive solution for autonomous driving, seamlessly integrating with commonly available sensing and computing equipment to empower industrial vehicles with the ability to understand their environment, make informed decisions, and execute actions. This innovative system is designed to fit effortlessly into your current operations, allowing for straightforward programming of vehicle routes, loops, and missions. Essentially, anything a human driver can accomplish, DriveMod is capable of achieving as well. You can safely equip any commercially available vehicle with autonomous features through a simple retrofit process. The adaptability of DriveMod guarantees that diverse fleets operate efficiently, regardless of the vehicle's make or model. By leveraging advanced AI software alongside top-tier sensors and computing technology, DriveMod delivers performance that surpasses that of human operators. It can identify thousands of objects and evaluate numerous potential paths, efficiently determining the best route in mere fractions of a second, thereby revolutionizing the way vehicles navigate their surroundings. This remarkable capability positions DriveMod as a leading solution in the realm of autonomous vehicle technology.

Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.

Introducing a cutting-edge Driver and Fleet Safety Platform that utilizes innovative AI technology to influence driver behavior in real-time. This platform enables the anticipation of potential incidents before they occur, allowing for proactive measures that help reduce repair and maintenance expenses as well as fleet claims. By leveraging AI for immediate detection and incident reporting, you can effectively lower your injury, liability, and processing costs. The platform offers Driver Behavior Alerts that provide real-time coaching for your entire fleet, ensuring that all drivers receive timely feedback. For those requiring further safety training, the Nauto Manager-Led Coaching feature helps identify priority drivers and facilitates a structured coaching process. Moreover, by addressing issues like distracted and drowsy driving, you can significantly cut down on operational and insurance costs associated with fleet accidents. Additionally, the platform includes features that focus on protecting driver privacy while fostering transparency between fleet managers and drivers, ultimately enhancing trust and communication within the team. This comprehensive approach not only safeguards your fleet but also promotes a culture of safety and accountability among all drivers.

NODAR has revolutionized stereo vision through innovative algorithms that allow standard cameras to achieve extraordinary levels of 3D range, accuracy, and dependability. This cutting-edge 3D vision technology is meticulously designed to extend the boundaries of what can be accomplished in both automotive and industrial sectors. In contexts such as passenger vehicles, self-driving trains, and security monitoring, the availability of dependable 3D data is vital for ensuring safety and optimal performance. NODAR excels in providing top-tier 3D spatial information for autonomous systems spanning various industries. The shift toward autonomy is reshaping virtually every facet of modern life, enhancing productivity, offering convenience, and improving safety standards. Operating in outdoor environments often presents challenges, as automated machinery must function continuously in adverse conditions marked by harsh weather, strong glare, dust, and significant vibrations. NODAR's innovative technology and products furnish unmatched data quality, precision, and reliability, which are essential for safety-critical applications reliant on accurate 3D information. This commitment to excellence positions NODAR as a leader in providing solutions that meet the evolving needs of various sectors.

42dot merges advanced technology with customized connected solutions to enhance the logistics of transporting individuals and goods. Our vision is to establish a fully autonomous and centralized system for seamless transportation services. By speeding up the shift towards autonomous Transportation-as-a-Service, we aspire to introduce significant, life-improving innovations to the marketplace. UMOS serves as an all-encompassing mobility and logistics platform that unifies various modes of ground and aerial transport, including e-hailing, fleet management, demand-responsive transport, and smart logistics, among others. This platform features multiple functional layers powered by resilient technology, offering scalability suitable for enterprises. UMOS envisions an environment where transportation concerns are a thing of the past, as it will manage our mobility requirements and all aspects of our movement. Ultimately, this comprehensive approach aims to transform how we perceive and experience transportation in our daily lives.

As a leading provider of automated platform solutions globally, we offer a highly adaptable R&D vehicle platform that can significantly enhance your projects related to advanced driver assistance systems (ADAS), algorithm innovation, and autonomous driving initiatives, or elevate your driverless technology endeavors to new heights. You can methodically define the specifications of your R&D vehicle platform, which includes everything from the vehicle itself to its sensors, software, and data storage components. When you choose to purchase a platform from AutonomouStuff, you gain not just a product but a partnership; an experienced project manager will be assigned to you, ensuring consistent communication and keeping you informed about platform advancements, while also guaranteeing that your requirements are fully addressed. This collaborative approach allows us to adapt to your evolving needs throughout the development process.

DeepRoute.ai is dedicated to delivering the most secure, intelligent, and dependable Level 4 full-stack autonomous driving solution. Our mission is to drive innovation in transportation by harnessing cutting-edge technology. To facilitate the commercialization of self-driving vehicles, DeepRoute.ai partners with OEMs and mobility service providers. By leveraging advancements in technical research and strategic collaborations, we aim to make self-driving technology more accessible to the general public. With sophisticated semantic mapping and a real-time positioning system, our planning and control algorithms can determine the best route in challenging road conditions, ensuring a driving experience that is not only safe but also comfortable and efficient. Our continued efforts focus on refining these technologies to enhance overall vehicle performance and reliability.

A robust application platform designed for autonomous driving systems utilizes diverse collective data to perceive the outside environment and make informed driving decisions independently. This system is supported by a scalable distributed computing infrastructure that leverages many-core processors alongside a variety of processor types to deliver the enhanced computational power essential for sophisticated information processing. Furthermore, the platform is designed to be adaptable, enabling software applications to operate across a range of hardware resources while maintaining real-time capabilities to guarantee both safety and reliability in autonomous operations. This versatility ensures that the system can evolve alongside advancements in technology and changing operational requirements.

LiDAR and photogrammetry software for 3D point cloud analysis is essential for effective mapping, whether the data is collected from the air or on the ground. LP360 provides a sophisticated desktop software solution that simplifies the extraction of relevant information and the creation of deliverables within a user-friendly GIS framework. With LP360, you can efficiently process and analyze drone survey data to generate valuable insights and outputs, encompassing a comprehensive geospatial workflow that includes visualization, quality assurance, classification, and 3D editing and analysis tools. Additionally, LP360 Cloud offers a continually expanding suite of cloud-based resources designed to facilitate the management, archiving, sharing, and collaboration on geospatial projects, ensuring that all tools are tailored to your needs. This commitment to user-centric development means LP360 Cloud is consistently evolving to meet the demands of modern geospatial work.

We collaborate to develop innovative solutions that help our clients transition to sustainable mobility while propelling the automotive industry forward. Fueled by the integration of cutting-edge technologies such as AI, IoT, and connected infrastructure, alongside digitization and electrification, we are swiftly moving toward a transformed future in automotive. This pivotal moment promises unparalleled freedom characterized by zero accidents, zero emissions, and no ownership, presenting a remarkable opportunity for society, the economy, and the environment. Our role is to empower automakers to push the boundaries of crucial automotive and mobility technology advancements. By merging the agility and dynamic nature of a startup with the extensive reach and resources of a larger enterprise, we are able to provide complex solutions rapidly, even in critical situations. As we navigate the era of autonomous driving, we focus on addressing both current and future software demands. Moreover, we emphasize the importance of creating distinct and highly personalized in-vehicle experiences that leverage intelligent technology. This approach not only enhances the driving experience but also aligns with the broader goals of sustainability and innovation in the automotive sector.

Professionals in geographic imaging must handle extensive geospatial data daily, frequently using software intended for different tasks, along with additional applications that may introduce as many complications as they alleviate. By utilizing ERDAS IMAGINE, users can save both resources and time, maximize their existing data investments, and enhance their image analysis capabilities. This software offers significant advantages by integrating remote sensing, photogrammetry, LiDAR analysis, basic vector analysis, and radar processing into one comprehensive solution. ERDAS IMAGINE streamlines various processes, including image classification and segmentation, orthorectification, mosaicking, reprojection, elevation extraction, and image interpretation. Thanks to powerful algorithms and efficient data processing functions, users can focus on their analyses without being hindered by technical complexities. Furthermore, ERDAS IMAGINE supports advanced methodologies such as K-Means, ISODATA, object-based image segmentation, and incorporates Machine Learning and Deep Learning Artificial Intelligence algorithms to enhance data analysis further. By adopting this tool, geographic imaging professionals can significantly boost their productivity and the quality of their results.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

FugroViewer is a powerful and user-friendly freeware that enables users to effectively utilize their geospatial data. It has been specifically developed to accommodate a variety of raster and vector geospatial datasets, including those derived from photogrammetry, lidar, and IFSAR technologies. The latest version, FugroViewer 3.5, is now available for download, featuring the capability to process files that are up to six times larger than previous versions. Enhanced graphics performance has been integrated to reduce rendering times and boost overall efficiency. Furthermore, FugroViewer supports the newest open file formats for the storage and delivery of lidar data. Users can visualize elevation and terrain model data through standard ortho, 3D perspective, and cross-section views, while also being able to display GPS time and RGB values when accessible. The software allows for the coloring of TINs based on elevation using a gradient from blue to red, as well as by intensity values. Additionally, it facilitates the overlay of imagery and vector data onto 3D elevation and terrain datasets, enabling comprehensive analysis. Users can also inspect lidar point clouds by various criteria such as classification, flight line, return number, or source ID, enhancing their analytical capabilities even further. This makes FugroViewer an invaluable tool for anyone working with complex geospatial data.

Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.

Polycam stands out as the premier 3D capture app available for both iPhone and iPad! With just your device, you can effortlessly create high-quality 3D models from photographs, and if you have a LiDAR sensor, you can quickly scan entire spaces. The app allows you to edit your 3D captures right on your device and supports exporting in more than twelve different file formats. You can easily share your creations with friends and the broader Polycam community through Polycam Web, and even discover captures from around the world on Poly World! The photogrammetry feature enables you to transform photos into 3D models, making it particularly effective for scanning intricate objects and scenes. Additionally, it produces 3D assets that can be seamlessly integrated into any computer graphics software. Compatible with any iPhone or iPad, the app offers unlimited free scanning capabilities without requiring an internet connection. You can also take endless measurements with inch-level precision using the Ruler tool, and enjoy the convenience of automatic measurements derived from LiDAR captures. For those looking to enhance their experience, upgrading to Polycam Pro allows users to generate scale-accurate blueprints, adding even more functionality to this already versatile app. Ultimately, Polycam provides a comprehensive solution for anyone interested in 3D modeling and spatial scanning.

We are enhancing the efficiency of geotechnical data gathering for ground control engineers, geotechnical specialists, and geologists. Our innovative platform allows these professionals to seamlessly collect and process 3D point cloud data into actionable geological insights. Given the inherent risks and time demands of taking measurements in mining environments, our solution aims to facilitate a safer and quicker means of obtaining essential information for mining operations. Utilizing advanced handheld and mobile mapping technology, we gather and automatically compute joint set orientations of rock formations through flash LiDAR, an inertial measurement unit, and our proprietary software. Additionally, we offer a user-friendly interface for recording Rock Mass Rating (RMR), Q values, and other geological metrics. With our solution, engineers and geologists can attain highly precise and reliable data in just minutes. Our dedicated team is committed to developing an industrial-grade product that serves as a sophisticated yet straightforward tool, delivering unparalleled benefits to the mining sector. This innovative approach not only streamlines data collection but also significantly enhances the safety and efficiency of geological assessments.

Klatch Technologies is a global provider of data services that helps companies and institutions collect and annotate data. We support Artificial Intelligence companies, research institutes, Machine Learning and Computer Vision projects in data labeling. Our specialists provide high-quality data security, rapid scalability and accuracy, as well as multilingual capability and quick turnaround time. Data Annotation Services Image Annotation Video Annotation Search Relevance Annotation for Text NLP Text classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data collection services: Healthcare Training Data Chatbot Training Data All other data collection requirements IT Managed Services Moderation of Content Ecommerce Data Categorization

ROCK Cloud serves as an all-encompassing platform that enhances the processing and analysis of LiDAR datasets, making it easier for users to manage their projects. With its real-time editing and classification features, individuals can quickly compare, align, and merge their data, improving efficiency in their workflows. The platform also includes tools for managing ground control points, delivering precise reports to maintain data accuracy. Users can execute 3D ground control point alignment, assess stockpile volumes, and view inspection images with ease. In addition, ROCK Cloud promotes seamless data storage and sharing among multiple users, complete with options for personalized branding. The integration of orthomosaics ensures a holistic deliverable experience. Data security is paramount, as all information is safely housed within the ROCK Cloud, fostering collaboration among team members. Users can also order professional deliverables effortlessly with a simple click, while the platform ensures quality checks on data to verify correct capture and alignment. Overall, ROCK Cloud significantly enhances project management in the realm of LiDAR data processing.

ENVI stands as the leading choice in the realm of image processing and analysis, utilized by image analysts, GIS experts, and researchers to derive accurate, timely, and dependable insights from geospatial imagery. Its scientific validation, user-friendly interface, and seamless integration with Esri’s ArcGIS platform have made it a favored tool in the industry. For over thirty years, ENVI has consistently embraced innovation, accommodating a diverse array of data types such as multispectral, hyperspectral, thermal, LiDAR, and SAR. The platform democratizes deep learning by providing intuitive tools and workflows that do not necessitate programming expertise. Additionally, ENVI offers customization options through an API and visual programming environment, allowing users to tailor the software to their specific project needs. By employing scientifically validated analytics, ENVI ensures the delivery of professional-grade results. Organizations opt for ENVI due to its ability to fit seamlessly into existing workflows, compatibility with the most prevalent sensors today, and the flexibility to adapt to unique project specifications. Ultimately, ENVI's comprehensive capabilities make it an indispensable asset for professionals seeking to maximize the value of geospatial data.

The objective remains unchanged: to derive meaningful data from images and point cloud sources like LiDAR and DSM, translating them into vectors and attributes applicable across multiple fields. VrThree (VrLiDAR) empowers photogrammetry companies to leverage their existing workforce and software, while also introducing innovative and robust solutions for various mapping sectors, including architecture, engineering, and surveying. This software seamlessly integrates point cloud data into the well-established Vr Mapping Software suites, VrOne® and VrTwo, facilitating the visualization and modification of LiDAR point data in both 2D and authentic three-dimensional stereo formats. The four available configurations within VrThree allow for the collection and editing of vector, symbol, and text entities using the comprehensive tools provided by VrOne® and VrTwo. Today's mapping experts are required to gather three-dimensional vector data not only from conventional photogrammetric methods but also from advanced technologies like LiDAR, expanding their capabilities. The evolution of mapping technology continues to challenge professionals to adapt and enhance their skill sets to meet the demands of modern projects.

Cupix is the preferred partner for providing the industry's most flexible, yet easiest-to-deploy 3D twin platform to builders and business owners. Our mobile app allows you to capture your jobsite in 3D and control a 360 camera. You can then collaborate by sharing information about the built-world's lifecycle. All this through one platform. The industry's most advanced 3D Digital Twin Platform is built on data from any source, at any time, and from any location. Any type of point cloud data can be imported into our unified 3D Digital Twin Platform, including terrestrial and handheld LiDAR scanners as well as drone photogrammetry, robots and custom-built reality capture system. Keep your team productive. Cupix 3D Digital Twins allows you to virtually inspect, analyze, and measure any project from the comfort of your own home. Avoid costly errors and fix them before they happen.

Over the years, SiteSync Pro has transformed into a comprehensive suite designed to provide solutions for towers, microwave backhaul, spectrum management, and radio frequency analysis, all aimed at achieving exceptional engineering outcomes. With SiteSync Pro, users benefit from a unified platform where they can meticulously design their networks according to precise specifications and deployment requirements. The tool is enhanced by an array of detailed terrain data, including DEM, SRTM, and the latest LiDAR, along with demographic information, various mapping interfaces, and seamless access to FAA, FCC, and tower company resources, ensuring that users have all necessary information to create a thoughtfully designed and high-performance network for the future. Furthermore, SiteSync Pro excels in offering powerful and automated data integration capabilities, allowing users to either explore a vast collection of licensed records or upload their own distinct datasets, thereby ensuring flexibility and customization in network planning. This all-encompassing approach not only streamlines the engineering process but also empowers users with the tools to innovate and adapt to changing technological demands.

As a component of the Tri-Suite64 software suite, VideoActive® 64 represents the pioneering software for real-time forensic video processing. This patented Cognitech® software stands out as the sole application globally that offers a fully automatic Real-Time Universal De-Multiplexing feature, alongside capabilities such as Real-Time Track & Cover and lidar crime scene analysis. Additionally, it includes Real-Time Universal DVR Capture, patented lossless video capture that effectively doubles video storage capacity, and robust video search functionality for identifying objects like vehicles and individuals. The modular architecture of Cognitech VideoActive empowers users to select either a pre-defined setup or customize their own signal processing workflows. Users can seamlessly integrate various VideoActive® modules to create a tailored processing pipeline that can operate with both live feeds and stored files, all in real-time. Furthermore, the software has been completely rewritten for a 64-bit architecture, significantly enhancing its ability to handle larger file sizes, including 4K and 8K videos, which can now be opened, played, and saved with ease. This advancement not only improves user efficiency but also broadens the software's application in modern forensic investigations.

GeoHECRAS is a river modeling software used to compute water surface profiles for steady and unsteady flow models, bridge and culvert roadway crossings, FEMA floodplain encroachments, stream restorations, inline reservoir structures, off-channel storage areas, and much more. GeoHECRAS provides an easy-to-use, single graphical platform to rapidly create stunning HEC-RAS models and 3D visualizations from a variety of different data sources like AutoCAD, MicroStation, ArcGIS, Google Maps, Bing Maps, and more.

We are revolutionizing urban infrastructure by integrating digital assets, thereby transforming conventional industries for enhanced profitability, social benefits, and sustainability. As a cutting-edge deep tech company specializing in AI-driven autonomous vehicles, we are developing our comprehensive “lift and shift” platform known as ConICAV™, which is adaptable for any vehicle type. Our approach involves either retrofitting existing vehicles or creating custom-built autonomous solutions tailored for various industrial and commercial applications. By leveraging advanced AI and machine learning methodologies, our ConICAV™ platform significantly enhances asset management, elevates customer experience, and boosts operational productivity. Recently, Conigital has achieved a remarkable milestone by securing a £500 million Series A+ funding from a prominent global private equity firm that manages assets worth £150 billion. This substantial investment will accelerate our innovations and expand our reach within the autonomous vehicle market.

VeloView is a versatile open-source platform tailored for the real-time visualization and analysis of 3D LiDAR data obtained from various Velodyne HDL sensor models, such as the HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, and Veladome. This application allows users to either visualize live data streams or review previously recorded data archived in .pcap files, while also offering the functionality to record live streams for future examination. With tools designed for displaying, selecting, and measuring data from captured points, VeloView supports custom color maps influenced by factors such as intensity-of-return, time, distance, azimuth, dual return type, and laser ID. Users have the option to export data in CSV format as XYZ coordinates or capture screenshots of the point cloud visualization. Recent enhancements have added features like compatibility with Velarray sensors, the ability to operate multiple sensors concurrently, and independent transformation of live data for each sensor, thereby expanding its usability and versatility. Overall, VeloView stands out as a powerful tool for professionals working with 3D LiDAR technology.

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